Stop Learning AI Alone

I’ve been deep in AI for a few months now. Building agents. Automating workflows. Shipping things that would have taken a team of five, done solo from my terminal.

And the single biggest accelerator to everything I’ve learned? It wasn’t a course. It wasn’t a YouTube playlist.

It was the people I text when something clicks.

The solo learner trap

Most people learning AI right now are doing it alone. They’re watching tutorials, reading threads, maybe playing with Claude Code during lunch. And they’re learning. Slowly.

The problem with solo learning in AI is that “slowly” doesn’t work here. The tools change weekly. New models drop and old workflows break overnight. Some of what I learned in January is irrelevant in March.

Why an inner circle matters more for AI than anything before it

Surrounding yourself with smart people has always been good advice. For AI, it’s 10x more important. Three reasons:

Speed of change. New capabilities show up constantly. Your inner circle becomes a distributed radar system. Five people paying attention across different corners of the space will catch things you’d miss for weeks.

Cross-pollination. I work mostly in marketing automation and GTM. A friend works in developer tooling. Another is deep in healthcare AI. When we swap notes, the ideas that emerge are wild. Patterns that work in one domain translate to another in ways none of us would have seen alone.

Permission to experiment. This sounds soft but it’s real. When someone in your circle ships something weird or half-baked and shares it openly, it lowers the bar for you to try things. The psychological safety of “my people won’t judge me for this janky prototype” is genuinely underrated.

What a good AI inner circle looks like

Forget the Slack community with 10,000 members. Forget the Discord you lurk in. This is 2-7 people who are actively building, willing to share what’s working, and be honest about what isn’t.

The best circles share a few traits:

• Different domains, similar intensity. You don’t want five marketers. You want a marketer, an engineer, a founder, a product person, and someone who just likes breaking things. But all of them need to be in the arena, not spectating.

• Low-friction sharing. Group text, private Slack channel, a weekly 30-minute call. The format doesn’t matter. What matters is that when someone finds something good, sharing it takes 10 seconds, not a polished post.

• Show your work culture. Screenshots of half-working prototypes. “Look at this prompt that finally worked.” “Here’s a workflow that saved me 4 hours this week.” The messy stuff. That’s where the real learning happens.

• No gatekeeping. The person who hoards their best prompts and custom instructions is playing a different game. Your circle should feel like open source for ideas.

How to build one (it’s simpler than you think)

You probably already know 2-3 of these people. They’re the ones in your DMs asking “have you tried this?” or sharing links with no context because they know you’ll get it.

Start there. Make it intentional.

A few approaches that work:

The group text. Lowest friction. Start a thread, add the 3-4 people you already swap AI ideas with, and give it a name. I’ve seen entire businesses born from group texts that started as “hey, look at this weird thing Claude did.”

The weekly swap. 30 minutes, same time each week. Everyone brings one thing they learned, built, or broke. No presentations. No slides. Just “here’s what I found.”

The build-together sprint. Pick a weekend, pick a problem, build something together. Even if the output is terrible, the shared experience of wrestling with the same tools creates a bond that passive learning never will.

The compounding effect

Here’s what happens after a few months of this: you start thinking differently. Not just about AI tools, but about problems themselves.

You’ll hear about a challenge at work and immediately think “wait, Sarah showed us something last week that solves this.” You’ll connect dots faster because you have more dots to connect.

Your learning curve compounds. Every person in your circle is effectively multiplying your surface area for discovery. The same compounding shows up at the team level too: in the rise of the marketing engineer, one operator plus the right tools replaces what used to take a five-person team.

I can trace at least three projects back to a casual “you should try this” message from someone in my inner circle. Projects that generated real revenue. Ideas I never would have had sitting alone.

The part nobody talks about

The people racing to learn every AI tool by themselves are going to burn out. There’s too much. It moves too fast.

The people who build a small, tight circle of builders around them will be the ones setting the pace.

If you’re reading this and thinking “I don’t have that circle yet,” start building it today. Text three people. Ask a simple question: “What’s the most interesting thing you’ve built or seen with AI this month?”

That text might be the most valuable thing you do all week.

If you want a sense of what those people are actually building, your terminal is the new marketing department breaks down the patterns I’m seeing across the operators in my own circle. And if you’re trying to figure out where AI fits in your own work, take the AI Fit Quiz. Five questions, ninety seconds, a real answer.